Shawn Shen believes that AI might want to bear in mind what it sees with the intention to succeed within the bodily world. Shen’s firm Reminiscences.ai is utilizing Nvidia AI instruments to construct the infrastructure for wearables and robotics to have the ability to bear in mind and recall visible reminiscences.
Reminiscences.ai introduced a collaboration with semiconductor large Nvidia at its GTC convention on Monday. By way of this partnership, Reminiscences.ai makes use of Nvidia’s Cosmos Cause 2, a reasoning imaginative and prescient language mannequin, and Nvidia Metropolis, an software for video search and summarization, to proceed to develop its visible reminiscence expertise.
Shen (pictured above left) informed TechCrunch that he and his co-founder and CTO Ben Zhou (pictured above proper), obtained the thought for the corporate whereas constructing the AI system behind Meta’s RayBan glasses. Constructing the AI glasses obtained them serious about how individuals would really use the tech in actual life if customers couldn’t recall the video knowledge they have been recording.
They seemed round to see if they might discover anybody already constructing that sort of visible reminiscence answer for AI. After they couldn’t, they determined to spin out of Meta and construct it themselves.
“AI is already doing rather well within the digital world, what in regards to the bodily world?” Shen stated. “AI wearables, robotics want reminiscences as effectively. … Finally, you want AI to have visible reminiscences. We imagine in that future.”
The power for AI methods to recollect, generally, is a comparatively new. OpenAI up to date ChatGPT to begin to bear in mind previous chats in 2024 and fine-tuned that characteristic in 2025. Elon Musk’s xAI and Google Gemini have launched their very own reminiscence instruments too up to now two years.
However these developments have largely centered on text-based reminiscence, Shen stated. Textual content-based reminiscence is way more structured and simpler to index however aren’t as useful for bodily AI functions that largely work together with the world via sight and visuals.
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Reminiscences.ai was launched in 2024 and has raised $16 million to this point, via an $8 million seed spherical in July 2025 and an $8 million extension. The spherical was led by Susa Ventures and included Seedcamp, Fusion Fund and Crane Enterprise Companions, amongst others.
Shen stated efficiently constructing this visible reminiscence layer required two issues: constructing the infrastructure wanted to embed and index movies into an information format that may be saved and recalled, and capturing the information wanted to coach the mannequin to just do that.
The corporate launched its massive visible reminiscence mannequin (LVMM) in July 2025. Shen stated it could possibly be in comparison with a smaller model of Gemini Embedding 2, a multimodal indexing and retrieving mannequin, that was launched earlier this month.
For knowledge assortment, the corporate created LUCI, a {hardware} machine worn by the corporate’s “knowledge collectors” that information video used to coach the mannequin. Shen stated they don’t plan to develop into a {hardware} firm, nor promote these units, however, relatively, that they constructed their very own as a result of they weren’t glad with off-the-shelf video recorders that centered on high-definition and battery-eating video codecs.
The corporate launched the second era of this LVMM and signed a partnership with Qualcomm to run on Qualcomm’s processors beginning later this yr.
Reminiscences.ai can also be working with a number of the massive wearable corporations already, Shen stated, however declined to reveal which of them. Regardless of some demand now, Shen sees even greater alternatives in wearables and robotics but to come back.
“When it comes to commercialization, we’re extra centered on the mannequin and the infrastructure, as a result of in the end we expect the wearables and robotics market will come, nevertheless it’s in all probability simply not now,” Shen stated.
